Tram Le
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Ecology top 10%
- Bacteriophages and microbial interactions
Papers in
-
- Infections and bacterial resistance 7
- Vibrio bacteria research studies 2
- Ecology 19
- Bacteriophages and microbial interactions 19
- Co-authors
- Mei Liu (18 shared papers)Jason Gill (11 shared papers)Ry Young (5 shared papers)Carlos F. Gonzalez (10 shared papers)Wen Yang (1 shared paper)Stefan Wilhelm (1 shared paper)Nathan D. Donahue (1 shared paper)Lisa A. Carmody (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (1 paper)Animals (1 paper)Applied and Environmental Microbiology (1 paper)Nature Communications (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesArgentinaAustralia
In The Last Decade
Tram Le
21 papers receiving 282 citations
Peers
Comparison fields: 5 of 63
- Molecular Medicine 41
- Ecology 167
- Microbiology 36
- Endocrinology 29
- Biomaterials 42
Countries citing papers authored by Tram Le
This map shows the geographic impact of Tram Le's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tram Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tram Le more than expected).
Fields of papers citing papers by Tram Le
This network shows the impact of papers produced by Tram Le. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tram Le. The network helps show where Tram Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Tram Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 66 | |
| 2 | 2019 | 62 | |
| 3 | 2017 | 60 | |
| 4 | 2023 | 47 | |
| 5 | 2023 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2019 | 2 | |
| 18 | Vietnamese in Orange County | 2015 | 1 |
| 19 | The gender pay gap in self-employment in the US | 2010 | 1 |
| 20 | 2022 | 1 |
About Tram Le
Tram Le is a scholar working on Endocrinology, Ecology, Plant Science, Molecular Medicine and Microbiology, having authored 23 papers that have together received 287 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (19 papers), Genomics and Phylogenetic Studies (9 papers), Infections and bacterial resistance (7 papers), Plant Pathogenic Bacteria Studies (7 papers), Plant Virus Research Studies (4 papers), Antibiotic Resistance in Bacteria (3 papers), Microbial infections and disease research (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (41 citations), Ecology (167 citations), Microbiology (36 citations), Endocrinology (29 citations) and Biomaterials (42 citations). Tram Le has collaborated with scholars based in United States, Argentina and Australia. Frequent co-authors include Mei Liu, Jason Gill, Ry Young, Carlos F. Gonzalez, Wen Yang, Stefan Wilhelm, Nathan D. Donahue, Lisa A. Carmody, John J. LiPuma and Dao P. Le. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Animals, Applied and Environmental Microbiology, Nature Communications and Journal of Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.